Title :
Recursive Adaptive Parameters Estimation for LiFePO4 Battery Model
Author :
Wei Jian ; Xuehuan Jiang ; Jinliang Zhang ; Yufeng Chen
Author_Institution :
Sch. of Electr. & Inf. Eng., Hubei Univ. of Automotive Technol., Shiyan, China
Abstract :
An algorithm of recursive parameters estimation for Partnership for a New Generation Vehicle (PNGV) model of LiFePO4 lithium-ion battery is proposed. Firstly, the states vector and parameters vector are obtained by discretizing the model´s states equation. And then a projection algorithm based on equation error method is used in the process of the recursive estimation. The algorithm is used in simulation for Hybrid Pulse Power Characterization (HPPC) dataset. Results show that our algorithm is feasible and better performance is achieved.
Keywords :
battery management systems; iron compounds; lithium compounds; secondary cells; HPPC dataset; LiFePO4; LiFePO4 battery model; PNGV model; equation error method; hybrid pulse power characterization; partnership for a new generation vehicle model; recursive adaptive parameter estimation; Batteries; Discharges (electric); Equations; Mathematical model; Parameter estimation; Recursive estimation; Resistance; LiFePO4 battery; battery model; parameters estimation; recursive;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.302
